• DocumentCode
    2220947
  • Title

    Computational intelligence and cerebellar enigmas

  • Author

    Dunin-Barkowski, W.L. ; Shishkin, S.L. ; Wunsch, Donald C.

  • Author_Institution
    Appl. Comput. Intelligence Lab., Texas Tech. Univ., Lubbock, TX
  • Volume
    1
  • fYear
    1998
  • fDate
    4-8 May 1998
  • Firstpage
    640
  • Abstract
    A three-layer cerebellar cortex presents a kind of ideal network for early perceptron theories, but its functioning is much more complicated. Three related topics connected with information coding and memorizing mechanisms in the cerebellum are considered: 1) demonstration that activity transformation by granule cells, conserves the signal continuity provided by snake-in-box type codes; 2) determining precision requirements for the standard CMAC as well as for more realistic cerebellar models to meet demands of adaptive critic based solutions for a nonlinear control problem (swinging pendulum); and 3) demonstration that the closed loop scheme for the synaptic weight adjustment provides a precise setting of cerebellar input-output relations and multiple predictions for physiological experiments
  • Keywords
    cerebellar model arithmetic computers; encoding; learning (artificial intelligence); neurocontrollers; neurophysiology; tracking; CMAC; adaptive critic design; cerebellar cortex; cerebellar models; closed loop systems; granule cells; information coding; memorizing mechanisms; nonlinear control; perceptron; synaptic weight adjustment; Adaptive control; Arithmetic; Brain modeling; Cameras; Code standards; Computational intelligence; Multilayer perceptrons; Optical fiber testing; Predictive models; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.682354
  • Filename
    682354